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Study On The Related Factors And Eeg Characteristics Of Depressive State After Acute Cerebral Infarction

Posted on:2018-03-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y P ZhengFull Text:PDF
GTID:2334330536456322Subject:biomedical engineering
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Post-cerebral-infarction Depression(PCID)is a common psychiatric complication after ischemic stroke.Most PCID patients have disturbance of consciousness,aphasia and mental retardation.Which cause that,doctors couldn't ask patients for detailed examination,more than that,it is lack of specific examination means to diagnosis PCID,above all of these have increases the misdiagnosis of PCID.To explore a kind of diagnostic methods,with objective,specificity of high degree for PCID disease is particularly important.Purpose ? HAMD scale was used to evaluate the factors that affected the acute Post-cerebralinfarction Depression.? To find out the objective method for the diagnosis of acute PCID disease By analyzing the abnormal EEG activity of acute PCID patients.? Explore the relationship between the degree of depression to location of acute cerebral infarction and electroencephalogram(EEG).? To confirm the diagnosis result of abnormal EEG activity of acute PCID patients was consistent with HAMD scale table,the pathogenesis of acute PCID is caused by the interaction of biological,social and psychological factors.Method The patients with acute cerebral infarction who were treated by neurological department of Shenzhen Second People's Hospital were selected,which grouping according to age and the results of HAMD scale table,in the meantime patients' electronic medical records were collected.The patients were enrolled in the EEG test within 7 days,the abnormal EEG activity was analyzed by doctors and the collected data were analyzed by SPSS statistical software.Result 1.There were 321 acute cerebral infarction patients in the study,among them,88 patients with no depression after acute cerebral infarction,233 patients with acute PCID,and the incidence rate is 72.6% for acute PCID.2.Acute PCID disease with some related factors.There was a significant correlation between acute PCID and the educational level of the patients(P<0.05).Compared to lower levels of education,the higher educational level will be easily have acute PCID;but acute PCID had no correlation with age and sex of the patients(P > 0.05).3.There was a significant correlation between hypertension and acute PCID(P<0.05).Acute PCID had no significant correlation with diabetes mellitus,smoking history,drinking history and comorbidities(P > 0.05).4.The location of acute cerebral infarction(basal ganglia,radiation crown),the number of lesions more than or equal to 2,prone to acute PCID(P <0.05).Acute PCID had no significant correlation with the number of cerebral infarction and the other location of acute cerebral infarction(frontal lobe,temporal lobe,parietal lobe and occipital lobe)(P > 0.05).5.Acute PCID patients were likely with abnormal activities of the EEG spectrum signal of low amplitude ? wave and ? wave(P<0.05).Acute PCID had no significant correlation between the distribution of ? wave and ? wave in the EEG spectrum(P > 0.05).6.There was no significant difference in the degree of depression of acute PCID patients with the number of lesions,the number of ischemic stroke and abnormal activities of EEG(P > 0.05).Conclusion The level of education,hypertension,and location of basal ganglia and radiation crown in acute cerebral infarction patients were associated with the occurrence of acute PCID disease.Acute PCID patients were likely with abnormal EEG activities of low amplitude ? wave and ? wave.The diagnosis result of abnormal EEG activity of acute PCID patients was consistent with HAMD scale,the pathogenesis of acute PCID is caused by the interaction of biological,social and psychological factors.EEG can be used as an auxiliary diagnostic method for acute PCID disease,and provide a new evaluation,monitoring means for the treatment of acute PCID.
Keywords/Search Tags:Acute stroke, Acute Post-cerebral-infarction Depression, Depression, Incidence factors, Electroencephalogram
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